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微粒群优化理论在光电载荷安装误差修正中的应用
引用本文:田子希,黄亮,杨揆,刘忠,张国栋.微粒群优化理论在光电载荷安装误差修正中的应用[J].舰船电子工程,2011,31(11):160-162,168.
作者姓名:田子希  黄亮  杨揆  刘忠  张国栋
作者单位:海军工程大学电子工程学院,武汉,430033
摘    要:载荷安装误差是影响空中机动单站光电载荷无源定位精度的主要因素。针对传统解析方法建模复杂、精度不高的问题,采用一种微粒群优化方法对光电载荷安装误差进行修正。仿真分析表明,所采用的微粒群优化方法搜索效率高、搜索效果好,能够实现对安装误差的高精度修正,有望为实际应用提供一种简易可行的方法。

关 键 词:光电载荷  安装误差修正  微粒群优化算法

Application of Particle Swarm Optimization Algorithm in Fixing Errors Calibration of Photoelectric Payload
Tian Zixi Huang Liang Yang Kui Liu Zhong Zhang Guodong.Application of Particle Swarm Optimization Algorithm in Fixing Errors Calibration of Photoelectric Payload[J].Ship Electronic Engineering,2011,31(11):160-162,168.
Authors:Tian Zixi Huang Liang Yang Kui Liu Zhong Zhang Guodong
Institution:Tian Zixi Huang Liang Yang Kui Liu Zhong Zhang Guodong(Electronic Engineering College,Naval University of Engineering,Wuhan 430033)
Abstract:Payload fixing errors is the main factor which affects the single air mobility photoelectric payload passive positioning accuracy.Aiming at the problem of traditional analytical methods modeling complex and low precision,using a particle swarm optimization method for payload installed error correction.Simulation analysis results show that the particle swarm optimization method has high search efficiency and good search effective,which can achieve the purpose of high-precision correction of installation erro...
Keywords:photoelectric payload  fixing errors calibration  particle swarm optimization algorithm  
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